Visit https://miqa.kitware.com/ to read about this project.
- Multi-site | MIQA is cloud-based for distributed access by geographically distributed teams. All participants can securely view and annotate imagery from multiple sites.
- AI Powered | MIQA provides neural networks pre-trained for anomaly detection to ease the burden of distributed quality assurance testing. MIQA will learn from annotations entered by experts to further improve its AI predictions.
- Open Source | Open Source means MIQA can be extended and modified for new applications. Join our growing team of developers and develop only the extra features you need.
- Modern UI/UX | MIQA uses new Javascript frameworks, including Vue.js, Vuetify, and Vuex to speed development and improve UI performance.
- Efficient Data Management and Caching | MIQA builds on Girder, a mature, open source enterprise data hosting platform with multi-threading and scaleable storage and caching options.
- Easy to Deploy | Get started right away using our pre-built docker containers.
Read about configuring your instance of MIQA for production in prod/README.md or for development in dev/README.md
Read the MIQA user manual here.
The python client for interacting with an instance of MIQA is available on PyPI. The documentation for using this client can be found at python_client/README.md. Example usages of the client can be found at python_client/example.py.